July 8, 2024
In this bonus episode, Eric and John preview their upcoming conversation with Barry McCardel of Hex.
July 8, 2024
In this bonus episode, Eric and John preview their upcoming conversation with Barry McCardel of Hex.
July 3, 2024
This week on The Data Stack Show, Eric and John chat with David Wynn of Edge Delta. During the conversation, Dave shared his background, including his econometrics work at UPS during the 2008 recession and his tenure at Google Cloud, where he focused on BigQuery and customer-facing architecture in the gaming industry. The discussion covers the landscape of data warehouse products like Snowflake and Databricks, the complexities of cloud platforms, and the challenges of observability. They also delve into the cautious integration of AI in observability, emphasizing the need for better mental models and practical approaches, and so much more.
July 1, 2024
In this bonus episode, Eric and John preview their upcoming conversation with David Wynn of Edge Delta.
June 26, 2024
This week on The Data Stack Show, Eric and John chat with Jeff Skoldberg, Principal Consultant, Data Architecture and Analytics at Green Mountain Data Solutions. Jeff has been a data consultant specializing in supply chain analytics and cost optimization and shares his journey from starting as a business analyst at Keurig in 2008 to becoming an independent consultant. They discuss the evolution of the data landscape, including shifts from Microsoft SQL Server to SAP HANA and later to Snowflake. Jeff emphasizes the importance of cost optimization, detailing strategies for managing data costs effectively. The group also discusses two frameworks for using data to control business processes and create actionable dashboards, and more.
June 24, 2024
In this bonus episode, Eric and John preview their upcoming conversation with Jeff Skoldberg of Green Mountain Data Solutions.
June 19, 2024
This week on The Data Stack Show, Eric and John chat with Clint Dunn, Co-Founder at Wilde. During this conversation, Clint shares his journey from an economics major to a data professional, detailing his experiences at Afterpay and in building data teams for e-commerce companies. The discussion covers Wilde’s focus on predicting customer lifetime value (LTV) and churn for retail brands, emphasizing the importance of accurate data for business decisions. The group also explores the challenges of integrating data predictions into marketing workflows, technical aspects of managing and analyzing large datasets, and more.
Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
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